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AI Risk & Compliance

The Questions Every Business Should Ask Before Buying AI

DiscovrX Editorial2025-11-037 min read

A buyer checklist covering data, security, compliance, integration, cost and measurable business outcomes.

The Questions Every Business Should Ask Before Buying AI
AI Risk & Compliance

Before committing to any AI vendor, every business should work through a structured checklist. These questions are designed to expose risks and gaps before you sign a contract.

Data Questions

Data is the foundation of every AI system. Before buying, ask:

  • •Where will our data be stored and processed?
  • •Which countries or regions does data pass through?
  • •Will our data be used to train the vendor's general models?
  • •What data residency options are available?
  • •Who owns the data generated or processed by the AI system?
  • •What happens to our data if we cancel the contract?

Many AI vendors have opaque data handling practices. If a vendor cannot answer these questions clearly, treat it as a significant red flag.

Security Questions

Enterprise AI vendors should meet enterprise security standards. Ask:

  • •What security certifications do you hold? (ISO 27001, SOC 2, Cyber Essentials)
  • •How do you manage access controls and user permissions?
  • •How do you handle data breaches? What is your disclosure policy?
  • •Do you conduct regular penetration testing?
  • •Can you provide your most recent security audit?

Compliance Questions

For regulated industries, compliance is critical. Relevant questions include:

  • •Are you GDPR compliant? Can you provide a Data Processing Agreement?
  • •Do you offer model explainability? Can we audit how decisions are made?
  • •Are you compliant with sector-specific regulations relevant to our business?
  • •What is your approach to AI governance and responsible AI?

Integration Questions

AI tools only deliver value if they can be connected to your existing environment:

  • •Which systems does your tool integrate with natively?
  • •Do you offer an API? What is the documentation like?
  • •What technical resources are required on our side for integration?
  • •What is the typical integration timeline?
  • •What happens when our other systems update or change?

Cost Questions

AI pricing is often complex. Make sure you understand:

  • •What is included in the headline price?
  • •Are there setup, onboarding or implementation fees?
  • •How does pricing scale with usage or users?
  • •What is included in the support tier?
  • •What are the contract length options and exit clauses?
  • •What is the typical total cost of ownership over three years?

Business Outcomes Questions

Ultimately, you are buying outcomes, not technology. Ask:

  • •What specific outcomes have similar organisations achieved?
  • •What does a realistic implementation look like for our use case?
  • •How long before we see measurable results?
  • •What metrics will we use to measure success?
  • •What does failure look like, and how would we know?

References and Evidence

Every vendor will show you their best case studies. Go further:

  • •Can we speak directly to two or three customers similar to us?
  • •Can you share a case study where the implementation was challenging?
  • •What is your customer retention rate?

Using this checklist as part of a structured vendor evaluation will significantly reduce procurement risk and improve the quality of your final shortlist.

Where will our data be stored and processed?What security certifications does the vendor hold?How will the AI integrate with our current systems?What does success look like in measurable terms?What happens to our data if we cancel the contract?
Published by DiscovrX Community Hub

Key Takeaways

  • ✓Where will our data be stored and processed?
  • ✓What security certifications does the vendor hold?
  • ✓How will the AI integrate with our current systems?
  • ✓What does success look like in measurable terms?